{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}D:\10022024\research, journal papers\suicide terrorism and hard targets\replication materials\do and log-files2\Appendix Tables 6 and 7 and Appendix Figure 2\female bombers and hard targets, log-fle.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}16 Mar 2025, 07:42:36

{com}. do "D:\10022024\research, journal papers\suicide terrorism and hard targets\replication materials\do and log-files2\Appendix Tables 6 and 7 and Appendix Figure 2\female bombers and hard targets, do-file.do"
{txt}
{com}. * March 16, 2025
. 
. set matsize 150 
{txt}
{com}. set more off
{txt}
{com}. 
. use "D:\10022024\research, journal papers\suicide terrorism and hard targets\replication materials\data\Appendix Tables 6 and 7 and Appendix Figure 2\CPOST.dta", clear
{txt}
{com}. 
. 
. 
. * some year dummies omitted due to collinearity
. 
. 
. 
. ***** Appendix 6 *****
. 
. * Model 3
. logit security       female0_1 /*religious_conflict Muslim_organization foreign_organization   f_occupation iraqsyria*/ /// 
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13 yr14*/ yr15 yr16 yr17 /*yr18*/ yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -3061.668}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2648.1897}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2639.1056}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2638.9251}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2638.9236}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2638.9236}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,157
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(20)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-2638.9236{txt}{col 49}Pseudo R2{col 67}= {res}    0.1381

{txt}{ralign 78:(Std. Err. adjusted for {res:35} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    security{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}female0_1 {c |}{col 14}{res}{space 2}-1.907243{col 26}{space 2} .4751277{col 37}{space 1}   -4.01{col 46}{space 3}0.000{col 54}{space 4}-2.838476{col 67}{space 3}-.9760094
{txt}{space 9}yr6 {c |}{col 14}{res}{space 2} 3.412465{col 26}{space 2} 1.166411{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} 1.126341{col 67}{space 3} 5.698588
{txt}{space 9}yr8 {c |}{col 14}{res}{space 2}-.0116947{col 26}{space 2} 1.884542{col 37}{space 1}   -0.01{col 46}{space 3}0.995{col 54}{space 4} -3.70533{col 67}{space 3} 3.681941
{txt}{space 8}yr15 {c |}{col 14}{res}{space 2}-.4293757{col 26}{space 2} 1.323736{col 37}{space 1}   -0.32{col 46}{space 3}0.746{col 54}{space 4}-3.023851{col 67}{space 3}   2.1651
{txt}{space 8}yr16 {c |}{col 14}{res}{space 2}  .152536{col 26}{space 2} 1.374443{col 37}{space 1}    0.11{col 46}{space 3}0.912{col 54}{space 4}-2.541323{col 67}{space 3} 2.846395
{txt}{space 8}yr17 {c |}{col 14}{res}{space 2} 2.140837{col 26}{space 2} 1.247206{col 37}{space 1}    1.72{col 46}{space 3}0.086{col 54}{space 4}-.3036426{col 67}{space 3} 4.585317
{txt}{space 8}yr19 {c |}{col 14}{res}{space 2}  3.23465{col 26}{space 2} 1.605455{col 37}{space 1}    2.01{col 46}{space 3}0.044{col 54}{space 4} .0880154{col 67}{space 3} 6.381285
{txt}{space 8}yr20 {c |}{col 14}{res}{space 2} .6795712{col 26}{space 2} 1.665813{col 37}{space 1}    0.41{col 46}{space 3}0.683{col 54}{space 4}-2.585362{col 67}{space 3} 3.944504
{txt}{space 8}yr21 {c |}{col 14}{res}{space 2} .4956702{col 26}{space 2} 1.406614{col 37}{space 1}    0.35{col 46}{space 3}0.725{col 54}{space 4}-2.261243{col 67}{space 3} 3.252583
{txt}{space 8}yr22 {c |}{col 14}{res}{space 2}-1.482827{col 26}{space 2} 1.085213{col 37}{space 1}   -1.37{col 46}{space 3}0.172{col 54}{space 4}-3.609806{col 67}{space 3} .6441521
{txt}{space 8}yr23 {c |}{col 14}{res}{space 2} -2.14977{col 26}{space 2} 1.117041{col 37}{space 1}   -1.92{col 46}{space 3}0.054{col 54}{space 4}-4.339129{col 67}{space 3} .0395898
{txt}{space 8}yr24 {c |}{col 14}{res}{space 2}-.7684783{col 26}{space 2} 1.346701{col 37}{space 1}   -0.57{col 46}{space 3}0.568{col 54}{space 4}-3.407964{col 67}{space 3} 1.871007
{txt}{space 8}yr25 {c |}{col 14}{res}{space 2} 1.230944{col 26}{space 2} 1.406201{col 37}{space 1}    0.88{col 46}{space 3}0.381{col 54}{space 4} -1.52516{col 67}{space 3} 3.987048
{txt}{space 8}yr26 {c |}{col 14}{res}{space 2} 1.649028{col 26}{space 2} 1.256505{col 37}{space 1}    1.31{col 46}{space 3}0.189{col 54}{space 4}-.8136767{col 67}{space 3} 4.111732
{txt}{space 8}yr27 {c |}{col 14}{res}{space 2} 1.433322{col 26}{space 2} 1.137526{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.7961888{col 67}{space 3} 3.662833
{txt}{space 8}yr28 {c |}{col 14}{res}{space 2} 1.192852{col 26}{space 2}  1.20432{col 37}{space 1}    0.99{col 46}{space 3}0.322{col 54}{space 4}-1.167572{col 67}{space 3} 3.553275
{txt}{space 8}yr29 {c |}{col 14}{res}{space 2}  .216848{col 26}{space 2}  1.23479{col 37}{space 1}    0.18{col 46}{space 3}0.861{col 54}{space 4}-2.203296{col 67}{space 3} 2.636992
{txt}{space 8}yr30 {c |}{col 14}{res}{space 2} .7843188{col 26}{space 2} 1.231254{col 37}{space 1}    0.64{col 46}{space 3}0.524{col 54}{space 4}-1.628895{col 67}{space 3} 3.197533
{txt}{space 8}yr31 {c |}{col 14}{res}{space 2} .9462906{col 26}{space 2} 1.208856{col 37}{space 1}    0.78{col 46}{space 3}0.434{col 54}{space 4}-1.423024{col 67}{space 3} 3.315605
{txt}{space 8}yr32 {c |}{col 14}{res}{space 2} .1584772{col 26}{space 2} 1.290251{col 37}{space 1}    0.12{col 46}{space 3}0.902{col 54}{space 4}-2.370368{col 67}{space 3} 2.687323
{txt}{space 8}yr33 {c |}{col 14}{res}{space 2} -.168903{col 26}{space 2} 1.289744{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4}-2.696755{col 67}{space 3} 2.358949
{txt}{space 8}yr34 {c |}{col 14}{res}{space 2} .5126593{col 26}{space 2} 1.371596{col 37}{space 1}    0.37{col 46}{space 3}0.709{col 54}{space 4} -2.17562{col 67}{space 3} 3.200939
{txt}{space 8}yr35 {c |}{col 14}{res}{space 2} 1.251433{col 26}{space 2} 1.400906{col 37}{space 1}    0.89{col 46}{space 3}0.372{col 54}{space 4}-1.494293{col 67}{space 3} 3.997158
{txt}{space 8}yr36 {c |}{col 14}{res}{space 2} .4578274{col 26}{space 2} 1.253767{col 37}{space 1}    0.37{col 46}{space 3}0.715{col 54}{space 4} -1.99951{col 67}{space 3} 2.915165
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .482921{col 26}{space 2} 1.201536{col 37}{space 1}    0.40{col 46}{space 3}0.688{col 54}{space 4}-1.872045{col 67}{space 3} 2.837888
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * Model 4
. logit security       female0_1 religious_conflict /*Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                            /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13 yr14*/ yr15 yr16 yr17 /*yr18*/ yr19 yr20 ///
>                                        yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -3061.668}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2647.1493}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2637.8829}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2637.7001}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2637.6987}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2637.6987}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,157
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(21)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-2637.6987{txt}{col 49}Pseudo R2{col 67}= {res}    0.1385

{txt}{ralign 84:(Std. Err. adjusted for {res:35} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}          security{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}female0_1 {c |}{col 20}{res}{space 2}-1.908126{col 32}{space 2} .4739949{col 43}{space 1}   -4.03{col 52}{space 3}0.000{col 60}{space 4}-2.837139{col 73}{space 3}-.9791135
{txt}religious_conflict {c |}{col 20}{res}{space 2}-.2360528{col 32}{space 2}  .164809{col 43}{space 1}   -1.43{col 52}{space 3}0.152{col 60}{space 4}-.5590726{col 73}{space 3} .0869669
{txt}{space 15}yr6 {c |}{col 20}{res}{space 2} 3.314097{col 32}{space 2} 1.126913{col 43}{space 1}    2.94{col 52}{space 3}0.003{col 60}{space 4} 1.105388{col 73}{space 3} 5.522806
{txt}{space 15}yr8 {c |}{col 20}{res}{space 2}-.1179734{col 32}{space 2} 1.883569{col 43}{space 1}   -0.06{col 52}{space 3}0.950{col 60}{space 4}-3.809702{col 73}{space 3} 3.573755
{txt}{space 14}yr15 {c |}{col 20}{res}{space 2}-.4010981{col 32}{space 2} 1.301979{col 43}{space 1}   -0.31{col 52}{space 3}0.758{col 60}{space 4}-2.952929{col 73}{space 3} 2.150733
{txt}{space 14}yr16 {c |}{col 20}{res}{space 2} .1807392{col 32}{space 2} 1.352385{col 43}{space 1}    0.13{col 52}{space 3}0.894{col 60}{space 4}-2.469887{col 73}{space 3} 2.831365
{txt}{space 14}yr17 {c |}{col 20}{res}{space 2} 2.111649{col 32}{space 2}  1.24131{col 43}{space 1}    1.70{col 52}{space 3}0.089{col 60}{space 4}-.3212744{col 73}{space 3} 4.544573
{txt}{space 14}yr19 {c |}{col 20}{res}{space 2} 3.232892{col 32}{space 2} 1.599823{col 43}{space 1}    2.02{col 52}{space 3}0.043{col 60}{space 4} .0972959{col 73}{space 3} 6.368488
{txt}{space 14}yr20 {c |}{col 20}{res}{space 2} .6047672{col 32}{space 2}  1.68947{col 43}{space 1}    0.36{col 52}{space 3}0.720{col 60}{space 4}-2.706533{col 73}{space 3} 3.916067
{txt}{space 14}yr21 {c |}{col 20}{res}{space 2} .5242869{col 32}{space 2} 1.389475{col 43}{space 1}    0.38{col 52}{space 3}0.706{col 60}{space 4}-2.199034{col 73}{space 3} 3.247608
{txt}{space 14}yr22 {c |}{col 20}{res}{space 2}-1.463541{col 32}{space 2} 1.057449{col 43}{space 1}   -1.38{col 52}{space 3}0.166{col 60}{space 4}-3.536103{col 73}{space 3} .6090216
{txt}{space 14}yr23 {c |}{col 20}{res}{space 2}-2.121619{col 32}{space 2} 1.091143{col 43}{space 1}   -1.94{col 52}{space 3}0.052{col 60}{space 4} -4.26022{col 73}{space 3} .0169821
{txt}{space 14}yr24 {c |}{col 20}{res}{space 2}-.7472762{col 32}{space 2} 1.323763{col 43}{space 1}   -0.56{col 52}{space 3}0.572{col 60}{space 4}-3.341804{col 73}{space 3} 1.847252
{txt}{space 14}yr25 {c |}{col 20}{res}{space 2} 1.236286{col 32}{space 2}  1.38155{col 43}{space 1}    0.89{col 52}{space 3}0.371{col 60}{space 4}-1.471502{col 73}{space 3} 3.944075
{txt}{space 14}yr26 {c |}{col 20}{res}{space 2} 1.663737{col 32}{space 2} 1.235199{col 43}{space 1}    1.35{col 52}{space 3}0.178{col 60}{space 4}-.7572088{col 73}{space 3} 4.084683
{txt}{space 14}yr27 {c |}{col 20}{res}{space 2} 1.424637{col 32}{space 2} 1.107637{col 43}{space 1}    1.29{col 52}{space 3}0.198{col 60}{space 4}-.7462918{col 73}{space 3} 3.595565
{txt}{space 14}yr28 {c |}{col 20}{res}{space 2} 1.187449{col 32}{space 2} 1.176888{col 43}{space 1}    1.01{col 52}{space 3}0.313{col 60}{space 4} -1.11921{col 73}{space 3} 3.494108
{txt}{space 14}yr29 {c |}{col 20}{res}{space 2} .2345004{col 32}{space 2} 1.207858{col 43}{space 1}    0.19{col 52}{space 3}0.846{col 60}{space 4}-2.132858{col 73}{space 3} 2.601859
{txt}{space 14}yr30 {c |}{col 20}{res}{space 2} .7963469{col 32}{space 2} 1.204565{col 43}{space 1}    0.66{col 52}{space 3}0.509{col 60}{space 4}-1.564556{col 73}{space 3}  3.15725
{txt}{space 14}yr31 {c |}{col 20}{res}{space 2} .9611768{col 32}{space 2} 1.182453{col 43}{space 1}    0.81{col 52}{space 3}0.416{col 60}{space 4}-1.356388{col 73}{space 3} 3.278741
{txt}{space 14}yr32 {c |}{col 20}{res}{space 2} .1764994{col 32}{space 2} 1.269014{col 43}{space 1}    0.14{col 52}{space 3}0.889{col 60}{space 4}-2.310723{col 73}{space 3} 2.663721
{txt}{space 14}yr33 {c |}{col 20}{res}{space 2}-.1489466{col 32}{space 2} 1.269223{col 43}{space 1}   -0.12{col 52}{space 3}0.907{col 60}{space 4}-2.636577{col 73}{space 3} 2.338684
{txt}{space 14}yr34 {c |}{col 20}{res}{space 2} .5370471{col 32}{space 2} 1.349668{col 43}{space 1}    0.40{col 52}{space 3}0.691{col 60}{space 4}-2.108254{col 73}{space 3} 3.182348
{txt}{space 14}yr35 {c |}{col 20}{res}{space 2} 1.278239{col 32}{space 2} 1.372951{col 43}{space 1}    0.93{col 52}{space 3}0.352{col 60}{space 4}-1.412695{col 73}{space 3} 3.969173
{txt}{space 14}yr36 {c |}{col 20}{res}{space 2} .4814073{col 32}{space 2} 1.230967{col 43}{space 1}    0.39{col 52}{space 3}0.696{col 60}{space 4}-1.931244{col 73}{space 3} 2.894059
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .6908441{col 32}{space 2} 1.147899{col 43}{space 1}    0.60{col 52}{space 3}0.547{col 60}{space 4}-1.558997{col 73}{space 3} 2.940685
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * Model 5
. logit security       female0_1 religious_conflict Muslim_organization foreign_organization /*  f_occupation iraqsyria*/ ///
>                            /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13 yr14*/ yr15 yr16 yr17 /*yr18*/ yr19 yr20 ///
>                                        yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -3061.668}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2627.6452}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2617.2186}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2617.0287}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2617.0272}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2617.0272}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,157
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(23)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-2617.0272{txt}{col 49}Pseudo R2{col 67}= {res}    0.1452

{txt}{ralign 86:(Std. Err. adjusted for {res:35} clusters in ccode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}            security{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}female0_1 {c |}{col 22}{res}{space 2}-1.887123{col 34}{space 2} .4908041{col 45}{space 1}   -3.84{col 54}{space 3}0.000{col 62}{space 4}-2.849082{col 75}{space 3}-.9251651
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .1835837{col 34}{space 2} .2728912{col 45}{space 1}    0.67{col 54}{space 3}0.501{col 62}{space 4}-.3512733{col 75}{space 3} .7184406
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.8470171{col 34}{space 2}  .396155{col 45}{space 1}   -2.14{col 54}{space 3}0.033{col 62}{space 4}-1.623467{col 75}{space 3}-.0705676
{txt}foreign_organization {c |}{col 22}{res}{space 2} .3459121{col 34}{space 2} .4355644{col 45}{space 1}    0.79{col 54}{space 3}0.427{col 62}{space 4}-.5077785{col 75}{space 3} 1.199603
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2} 3.429072{col 34}{space 2}  1.18834{col 45}{space 1}    2.89{col 54}{space 3}0.004{col 62}{space 4} 1.099968{col 75}{space 3} 5.758176
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2}  .054778{col 34}{space 2}  1.90073{col 45}{space 1}    0.03{col 54}{space 3}0.977{col 62}{space 4}-3.670584{col 75}{space 3}  3.78014
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.3420984{col 34}{space 2} 1.285433{col 45}{space 1}   -0.27{col 54}{space 3}0.790{col 62}{space 4}-2.861501{col 75}{space 3} 2.177304
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.0441168{col 34}{space 2} 1.322813{col 45}{space 1}   -0.03{col 54}{space 3}0.973{col 62}{space 4}-2.636783{col 75}{space 3} 2.548549
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2} 2.012411{col 34}{space 2} 1.364489{col 45}{space 1}    1.47{col 54}{space 3}0.140{col 62}{space 4}-.6619383{col 75}{space 3} 4.686761
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2} 2.925951{col 34}{space 2} 1.566695{col 45}{space 1}    1.87{col 54}{space 3}0.062{col 62}{space 4}-.1447151{col 75}{space 3} 5.996617
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2}  .645491{col 34}{space 2} 1.498556{col 45}{space 1}    0.43{col 54}{space 3}0.667{col 62}{space 4}-2.291624{col 75}{space 3} 3.582606
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2} .3311451{col 34}{space 2} 1.441137{col 45}{space 1}    0.23{col 54}{space 3}0.818{col 62}{space 4}-2.493432{col 75}{space 3} 3.155722
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-1.325192{col 34}{space 2} 1.167726{col 45}{space 1}   -1.13{col 54}{space 3}0.256{col 62}{space 4}-3.613892{col 75}{space 3} .9635084
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-1.816052{col 34}{space 2} 1.172027{col 45}{space 1}   -1.55{col 54}{space 3}0.121{col 62}{space 4}-4.113184{col 75}{space 3} .4810795
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2}-.6362137{col 34}{space 2} 1.408253{col 45}{space 1}   -0.45{col 54}{space 3}0.651{col 62}{space 4} -3.39634{col 75}{space 3} 2.123912
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2} 1.313207{col 34}{space 2} 1.435051{col 45}{space 1}    0.92{col 54}{space 3}0.360{col 62}{space 4}-1.499442{col 75}{space 3} 4.125855
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2} 1.650215{col 34}{space 2} 1.257656{col 45}{space 1}    1.31{col 54}{space 3}0.189{col 62}{space 4}-.8147458{col 75}{space 3} 4.115176
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2} 1.481277{col 34}{space 2} 1.171823{col 45}{space 1}    1.26{col 54}{space 3}0.206{col 62}{space 4}-.8154541{col 75}{space 3} 3.778007
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2} 1.271767{col 34}{space 2} 1.240419{col 45}{space 1}    1.03{col 54}{space 3}0.305{col 62}{space 4}-1.159411{col 75}{space 3} 3.702944
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2}  .363022{col 34}{space 2} 1.313612{col 45}{space 1}    0.28{col 54}{space 3}0.782{col 62}{space 4}-2.211611{col 75}{space 3} 2.937655
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2} 1.007912{col 34}{space 2} 1.272326{col 45}{space 1}    0.79{col 54}{space 3}0.428{col 62}{space 4}-1.485801{col 75}{space 3} 3.501626
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2} 1.181085{col 34}{space 2} 1.250133{col 45}{space 1}    0.94{col 54}{space 3}0.345{col 62}{space 4} -1.26913{col 75}{space 3}   3.6313
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2} .3920912{col 34}{space 2} 1.330847{col 45}{space 1}    0.29{col 54}{space 3}0.768{col 62}{space 4}-2.216321{col 75}{space 3} 3.000503
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2} .0672184{col 34}{space 2} 1.310636{col 45}{space 1}    0.05{col 54}{space 3}0.959{col 62}{space 4}-2.501581{col 75}{space 3} 2.636018
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2}  .681162{col 34}{space 2} 1.422793{col 45}{space 1}    0.48{col 54}{space 3}0.632{col 62}{space 4} -2.10746{col 75}{space 3} 3.469784
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2} 1.469125{col 34}{space 2} 1.460791{col 45}{space 1}    1.01{col 54}{space 3}0.315{col 62}{space 4}-1.393973{col 75}{space 3} 4.332222
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2} .6339722{col 34}{space 2} 1.283679{col 45}{space 1}    0.49{col 54}{space 3}0.621{col 62}{space 4}-1.881992{col 75}{space 3} 3.149937
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .7918178{col 34}{space 2} 1.157799{col 45}{space 1}    0.68{col 54}{space 3}0.494{col 62}{space 4}-1.477427{col 75}{space 3} 3.061063
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * Model 6
. logit security       female0_1 religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13 yr14*/ yr15 yr16 yr17 /*yr18*/ yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -3061.668}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2581.0066}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2567.2946}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -2567.11}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2567.1085}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2567.1085}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,157
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(25)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-2567.1085{txt}{col 49}Pseudo R2{col 67}= {res}    0.1615

{txt}{ralign 86:(Std. Err. adjusted for {res:35} clusters in ccode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}            security{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}female0_1 {c |}{col 22}{res}{space 2}-1.726753{col 34}{space 2} .4958307{col 45}{space 1}   -3.48{col 54}{space 3}0.000{col 62}{space 4}-2.698563{col 75}{space 3}-.7549429
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .1657629{col 34}{space 2} .2658844{col 45}{space 1}    0.62{col 54}{space 3}0.533{col 62}{space 4} -.355361{col 75}{space 3} .6868868
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2} -.810126{col 34}{space 2} .5198199{col 45}{space 1}   -1.56{col 54}{space 3}0.119{col 62}{space 4}-1.828954{col 75}{space 3} .2087023
{txt}foreign_organization {c |}{col 22}{res}{space 2} .2112264{col 34}{space 2}   .38421{col 45}{space 1}    0.55{col 54}{space 3}0.582{col 62}{space 4}-.5418114{col 75}{space 3} .9642642
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2} .8804764{col 34}{space 2} .3564224{col 45}{space 1}    2.47{col 54}{space 3}0.013{col 62}{space 4} .1819014{col 75}{space 3} 1.579051
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2} .1616856{col 34}{space 2} .3018024{col 45}{space 1}    0.54{col 54}{space 3}0.592{col 62}{space 4}-.4298362{col 75}{space 3} .7532074
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2} 3.426252{col 34}{space 2} 1.111925{col 45}{space 1}    3.08{col 54}{space 3}0.002{col 62}{space 4} 1.246918{col 75}{space 3} 5.605586
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} .0362895{col 34}{space 2} 1.848547{col 45}{space 1}    0.02{col 54}{space 3}0.984{col 62}{space 4}-3.586796{col 75}{space 3} 3.659375
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.3061945{col 34}{space 2} 1.207656{col 45}{space 1}   -0.25{col 54}{space 3}0.800{col 62}{space 4}-2.673157{col 75}{space 3} 2.060768
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2} .0245269{col 34}{space 2} 1.225766{col 45}{space 1}    0.02{col 54}{space 3}0.984{col 62}{space 4} -2.37793{col 75}{space 3} 2.426984
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2} 1.935428{col 34}{space 2} 1.311083{col 45}{space 1}    1.48{col 54}{space 3}0.140{col 62}{space 4}-.6342473{col 75}{space 3} 4.505103
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2} 2.858454{col 34}{space 2} 1.463316{col 45}{space 1}    1.95{col 54}{space 3}0.051{col 62}{space 4}-.0095921{col 75}{space 3} 5.726501
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .6443668{col 34}{space 2} 1.453402{col 45}{space 1}    0.44{col 54}{space 3}0.658{col 62}{space 4}-2.204248{col 75}{space 3} 3.492982
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2} .3266861{col 34}{space 2} 1.432719{col 45}{space 1}    0.23{col 54}{space 3}0.820{col 62}{space 4}-2.481391{col 75}{space 3} 3.134763
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-1.246181{col 34}{space 2} 1.111919{col 45}{space 1}   -1.12{col 54}{space 3}0.262{col 62}{space 4}-3.425503{col 75}{space 3} .9331409
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-1.780247{col 34}{space 2} 1.138281{col 45}{space 1}   -1.56{col 54}{space 3}0.118{col 62}{space 4}-4.011237{col 75}{space 3} .4507422
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2}-1.060443{col 34}{space 2}  1.53843{col 45}{space 1}   -0.69{col 54}{space 3}0.491{col 62}{space 4} -4.07571{col 75}{space 3} 1.954823
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2} .8042793{col 34}{space 2} 1.455667{col 45}{space 1}    0.55{col 54}{space 3}0.581{col 62}{space 4}-2.048776{col 75}{space 3} 3.657334
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2} .9072152{col 34}{space 2} 1.275105{col 45}{space 1}    0.71{col 54}{space 3}0.477{col 62}{space 4}-1.591944{col 75}{space 3} 3.406375
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2} .7622852{col 34}{space 2}  1.13315{col 45}{space 1}    0.67{col 54}{space 3}0.501{col 62}{space 4}-1.458648{col 75}{space 3} 2.983218
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2} .6276411{col 34}{space 2} 1.155423{col 45}{space 1}    0.54{col 54}{space 3}0.587{col 62}{space 4}-1.636947{col 75}{space 3} 2.892229
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2} -.232274{col 34}{space 2} 1.236064{col 45}{space 1}   -0.19{col 54}{space 3}0.851{col 62}{space 4}-2.654915{col 75}{space 3} 2.190367
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2} .5850621{col 34}{space 2} 1.199576{col 45}{space 1}    0.49{col 54}{space 3}0.626{col 62}{space 4}-1.766063{col 75}{space 3} 2.936187
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2} .9560518{col 34}{space 2} 1.195676{col 45}{space 1}    0.80{col 54}{space 3}0.424{col 62}{space 4} -1.38743{col 75}{space 3} 3.299534
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2} .0135522{col 34}{space 2} 1.226363{col 45}{space 1}    0.01{col 54}{space 3}0.991{col 62}{space 4}-2.390075{col 75}{space 3}  2.41718
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2} -.101246{col 34}{space 2} 1.298331{col 45}{space 1}   -0.08{col 54}{space 3}0.938{col 62}{space 4}-2.645928{col 75}{space 3} 2.443436
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2} .5043472{col 34}{space 2}  1.37169{col 45}{space 1}    0.37{col 54}{space 3}0.713{col 62}{space 4}-2.184116{col 75}{space 3}  3.19281
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2} 1.500327{col 34}{space 2} 1.434626{col 45}{space 1}    1.05{col 54}{space 3}0.296{col 62}{space 4}-1.311488{col 75}{space 3} 4.312141
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2} .6676524{col 34}{space 2} 1.242989{col 45}{space 1}    0.54{col 54}{space 3}0.591{col 62}{space 4}-1.768561{col 75}{space 3} 3.103866
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .7112881{col 34}{space 2} 1.065151{col 45}{space 1}    0.67{col 54}{space 3}0.504{col 62}{space 4}-1.376369{col 75}{space 3} 2.798945
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. ***** Appendix 7: Interaction *****
. 
. logit security       female0_1##c.v2x_gencs  /*religious_conflict Muslim_organization foreign_organization   f_occupation iraqsyria*/ /// 
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13 yr14*/ yr15 yr16 yr17 /*yr18*/ yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -3061.668}  
Iteration 1:{space 3}log pseudolikelihood = {res: -2580.674}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2570.5515}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2570.3966}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2570.3954}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2570.3954}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,157
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(22)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-2570.3954{txt}{col 49}Pseudo R2{col 67}= {res}    0.1605

{txt}{ralign 87:(Std. Err. adjusted for {res:35} clusters in ccode)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             security{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.female0_1 {c |}{col 23}{res}{space 2}-.4801821{col 35}{space 2}  1.60119{col 46}{space 1}   -0.30{col 55}{space 3}0.764{col 63}{space 4}-3.618456{col 76}{space 3} 2.658092
{txt}{space 12}v2x_gencs {c |}{col 23}{res}{space 2} -2.92715{col 35}{space 2} 1.231331{col 46}{space 1}   -2.38{col 55}{space 3}0.017{col 63}{space 4}-5.340515{col 76}{space 3}-.5137858
{txt}{space 21} {c |}
female0_1#c.v2x_gencs {c |}
{space 19}1  {c |}{col 23}{res}{space 2}-1.336942{col 35}{space 2} 2.603797{col 46}{space 1}   -0.51{col 55}{space 3}0.608{col 63}{space 4} -6.44029{col 76}{space 3} 3.766406
{txt}{space 21} {c |}
{space 18}yr6 {c |}{col 23}{res}{space 2} 3.194326{col 35}{space 2} .9888591{col 46}{space 1}    3.23{col 55}{space 3}0.001{col 63}{space 4} 1.256198{col 76}{space 3} 5.132455
{txt}{space 18}yr8 {c |}{col 23}{res}{space 2}-.3117926{col 35}{space 2} 1.812072{col 46}{space 1}   -0.17{col 55}{space 3}0.863{col 63}{space 4}-3.863388{col 76}{space 3} 3.239803
{txt}{space 17}yr15 {c |}{col 23}{res}{space 2}-.2682145{col 35}{space 2} 1.113981{col 46}{space 1}   -0.24{col 55}{space 3}0.810{col 63}{space 4}-2.451577{col 76}{space 3} 1.915148
{txt}{space 17}yr16 {c |}{col 23}{res}{space 2} .2333913{col 35}{space 2} 1.244587{col 46}{space 1}    0.19{col 55}{space 3}0.851{col 63}{space 4}-2.205955{col 76}{space 3} 2.672738
{txt}{space 17}yr17 {c |}{col 23}{res}{space 2} 1.589392{col 35}{space 2} 1.207905{col 46}{space 1}    1.32{col 55}{space 3}0.188{col 63}{space 4}-.7780584{col 76}{space 3} 3.956843
{txt}{space 17}yr19 {c |}{col 23}{res}{space 2} 2.710565{col 35}{space 2} 1.533069{col 46}{space 1}    1.77{col 55}{space 3}0.077{col 63}{space 4}-.2941943{col 76}{space 3} 5.715324
{txt}{space 17}yr20 {c |}{col 23}{res}{space 2} .3388276{col 35}{space 2} 1.719664{col 46}{space 1}    0.20{col 55}{space 3}0.844{col 63}{space 4}-3.031651{col 76}{space 3} 3.709306
{txt}{space 17}yr21 {c |}{col 23}{res}{space 2} .4401326{col 35}{space 2}  1.29277{col 46}{space 1}    0.34{col 55}{space 3}0.734{col 63}{space 4} -2.09365{col 76}{space 3} 2.973915
{txt}{space 17}yr22 {c |}{col 23}{res}{space 2}-1.255797{col 35}{space 2} 1.010756{col 46}{space 1}   -1.24{col 55}{space 3}0.214{col 63}{space 4}-3.236842{col 76}{space 3} .7252484
{txt}{space 17}yr23 {c |}{col 23}{res}{space 2}-1.931892{col 35}{space 2} 1.067271{col 46}{space 1}   -1.81{col 55}{space 3}0.070{col 63}{space 4}-4.023705{col 76}{space 3} .1599209
{txt}{space 17}yr24 {c |}{col 23}{res}{space 2}-1.100012{col 35}{space 2} 1.349791{col 46}{space 1}   -0.81{col 55}{space 3}0.415{col 63}{space 4}-3.745553{col 76}{space 3} 1.545528
{txt}{space 17}yr25 {c |}{col 23}{res}{space 2} .7235448{col 35}{space 2} 1.298783{col 46}{space 1}    0.56{col 55}{space 3}0.577{col 63}{space 4}-1.822024{col 76}{space 3} 3.269113
{txt}{space 17}yr26 {c |}{col 23}{res}{space 2} 1.055215{col 35}{space 2} 1.154906{col 46}{space 1}    0.91{col 55}{space 3}0.361{col 63}{space 4}-1.208359{col 76}{space 3} 3.318788
{txt}{space 17}yr27 {c |}{col 23}{res}{space 2} .6715539{col 35}{space 2} 1.054432{col 46}{space 1}    0.64{col 55}{space 3}0.524{col 63}{space 4}-1.395095{col 76}{space 3} 2.738203
{txt}{space 17}yr28 {c |}{col 23}{res}{space 2} .4844275{col 35}{space 2} 1.027626{col 46}{space 1}    0.47{col 55}{space 3}0.637{col 63}{space 4}-1.529683{col 76}{space 3} 2.498538
{txt}{space 17}yr29 {c |}{col 23}{res}{space 2}-.5379699{col 35}{space 2} 1.050869{col 46}{space 1}   -0.51{col 55}{space 3}0.609{col 63}{space 4}-2.597635{col 76}{space 3} 1.521695
{txt}{space 17}yr30 {c |}{col 23}{res}{space 2} .1065491{col 35}{space 2} 1.028703{col 46}{space 1}    0.10{col 55}{space 3}0.918{col 63}{space 4}-1.909672{col 76}{space 3}  2.12277
{txt}{space 17}yr31 {c |}{col 23}{res}{space 2} .2145699{col 35}{space 2} 1.066645{col 46}{space 1}    0.20{col 55}{space 3}0.841{col 63}{space 4}-1.876017{col 76}{space 3} 2.305157
{txt}{space 17}yr32 {c |}{col 23}{res}{space 2}-.6684957{col 35}{space 2} 1.093443{col 46}{space 1}   -0.61{col 55}{space 3}0.541{col 63}{space 4}-2.811605{col 76}{space 3} 1.474614
{txt}{space 17}yr33 {c |}{col 23}{res}{space 2} -.836714{col 35}{space 2} 1.191105{col 46}{space 1}   -0.70{col 55}{space 3}0.482{col 63}{space 4}-3.171237{col 76}{space 3} 1.497809
{txt}{space 17}yr34 {c |}{col 23}{res}{space 2}-.1167516{col 35}{space 2} 1.199753{col 46}{space 1}   -0.10{col 55}{space 3}0.922{col 63}{space 4}-2.468225{col 76}{space 3} 2.234722
{txt}{space 17}yr35 {c |}{col 23}{res}{space 2} .6757695{col 35}{space 2} 1.180588{col 46}{space 1}    0.57{col 55}{space 3}0.567{col 63}{space 4} -1.63814{col 76}{space 3} 2.989679
{txt}{space 17}yr36 {c |}{col 23}{res}{space 2} -.103495{col 35}{space 2} 1.079157{col 46}{space 1}   -0.10{col 55}{space 3}0.924{col 63}{space 4}-2.218603{col 76}{space 3} 2.011613
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 2.550622{col 35}{space 2} 1.273928{col 46}{space 1}    2.00{col 55}{space 3}0.045{col 63}{space 4} .0537697{col 76}{space 3} 5.047475
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit security       female0_1##c.v2x_gencs  religious_conflict /*Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                                /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13 yr14*/ yr15 yr16 yr17 /*yr18*/ yr19 yr20 ///
>                                        yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -3061.668}  
Iteration 1:{space 3}log pseudolikelihood = {res: -2579.591}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2569.3256}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2569.1691}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2569.1679}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2569.1679}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,157
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(23)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-2569.1679{txt}{col 49}Pseudo R2{col 67}= {res}    0.1609

{txt}{ralign 87:(Std. Err. adjusted for {res:35} clusters in ccode)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             security{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.female0_1 {c |}{col 23}{res}{space 2}-.5085368{col 35}{space 2} 1.599741{col 46}{space 1}   -0.32{col 55}{space 3}0.751{col 63}{space 4}-3.643972{col 76}{space 3} 2.626898
{txt}{space 12}v2x_gencs {c |}{col 23}{res}{space 2}-2.933807{col 35}{space 2} 1.231082{col 46}{space 1}   -2.38{col 55}{space 3}0.017{col 63}{space 4}-5.346683{col 76}{space 3}-.5209313
{txt}{space 21} {c |}
female0_1#c.v2x_gencs {c |}
{space 19}1  {c |}{col 23}{res}{space 2}-1.296077{col 35}{space 2} 2.604744{col 46}{space 1}   -0.50{col 55}{space 3}0.619{col 63}{space 4}-6.401282{col 76}{space 3} 3.809129
{txt}{space 21} {c |}
{space 3}religious_conflict {c |}{col 23}{res}{space 2}-.2352864{col 35}{space 2} .1201939{col 46}{space 1}   -1.96{col 55}{space 3}0.050{col 63}{space 4} -.470862{col 76}{space 3} .0002892
{txt}{space 18}yr6 {c |}{col 23}{res}{space 2}  3.09665{col 35}{space 2} .9620148{col 46}{space 1}    3.22{col 55}{space 3}0.001{col 63}{space 4} 1.211136{col 76}{space 3} 4.982165
{txt}{space 18}yr8 {c |}{col 23}{res}{space 2} -.419578{col 35}{space 2} 1.827475{col 46}{space 1}   -0.23{col 55}{space 3}0.818{col 63}{space 4}-4.001363{col 76}{space 3} 3.162207
{txt}{space 17}yr15 {c |}{col 23}{res}{space 2}-.2364119{col 35}{space 2} 1.096718{col 46}{space 1}   -0.22{col 55}{space 3}0.829{col 63}{space 4} -2.38594{col 76}{space 3} 1.913116
{txt}{space 17}yr16 {c |}{col 23}{res}{space 2} .2650677{col 35}{space 2} 1.227909{col 46}{space 1}    0.22{col 55}{space 3}0.829{col 63}{space 4}-2.141589{col 76}{space 3} 2.671725
{txt}{space 17}yr17 {c |}{col 23}{res}{space 2} 1.590059{col 35}{space 2} 1.210039{col 46}{space 1}    1.31{col 55}{space 3}0.189{col 63}{space 4}-.7815743{col 76}{space 3} 3.961692
{txt}{space 17}yr19 {c |}{col 23}{res}{space 2} 2.728982{col 35}{space 2} 1.528155{col 46}{space 1}    1.79{col 55}{space 3}0.074{col 63}{space 4} -.266147{col 76}{space 3} 5.724111
{txt}{space 17}yr20 {c |}{col 23}{res}{space 2} .2819398{col 35}{space 2} 1.761198{col 46}{space 1}    0.16{col 55}{space 3}0.873{col 63}{space 4}-3.169946{col 76}{space 3} 3.733825
{txt}{space 17}yr21 {c |}{col 23}{res}{space 2} .4704664{col 35}{space 2} 1.282623{col 46}{space 1}    0.37{col 55}{space 3}0.714{col 63}{space 4}-2.043429{col 76}{space 3} 2.984362
{txt}{space 17}yr22 {c |}{col 23}{res}{space 2}-1.233121{col 35}{space 2} .9878913{col 46}{space 1}   -1.25{col 55}{space 3}0.212{col 63}{space 4}-3.169352{col 76}{space 3} .7031108
{txt}{space 17}yr23 {c |}{col 23}{res}{space 2}-1.900119{col 35}{space 2} 1.050514{col 46}{space 1}   -1.81{col 55}{space 3}0.070{col 63}{space 4}-3.959088{col 76}{space 3} .1588496
{txt}{space 17}yr24 {c |}{col 23}{res}{space 2}-1.076971{col 35}{space 2} 1.337703{col 46}{space 1}   -0.81{col 55}{space 3}0.421{col 63}{space 4}-3.698819{col 76}{space 3} 1.544878
{txt}{space 17}yr25 {c |}{col 23}{res}{space 2} .7305785{col 35}{space 2} 1.282728{col 46}{space 1}    0.57{col 55}{space 3}0.569{col 63}{space 4}-1.783523{col 76}{space 3}  3.24468
{txt}{space 17}yr26 {c |}{col 23}{res}{space 2} 1.072632{col 35}{space 2} 1.140666{col 46}{space 1}    0.94{col 55}{space 3}0.347{col 63}{space 4}-1.163033{col 76}{space 3} 3.308297
{txt}{space 17}yr27 {c |}{col 23}{res}{space 2} .6623595{col 35}{space 2} 1.033567{col 46}{space 1}    0.64{col 55}{space 3}0.522{col 63}{space 4}-1.363394{col 76}{space 3} 2.688113
{txt}{space 17}yr28 {c |}{col 23}{res}{space 2} .4793614{col 35}{space 2}  1.00844{col 46}{space 1}    0.48{col 55}{space 3}0.635{col 63}{space 4}-1.497145{col 76}{space 3} 2.455867
{txt}{space 17}yr29 {c |}{col 23}{res}{space 2}-.5179239{col 35}{space 2} 1.032948{col 46}{space 1}   -0.50{col 55}{space 3}0.616{col 63}{space 4}-2.542464{col 76}{space 3} 1.506616
{txt}{space 17}yr30 {c |}{col 23}{res}{space 2} .1190656{col 35}{space 2} 1.009935{col 46}{space 1}    0.12{col 55}{space 3}0.906{col 63}{space 4}-1.860371{col 76}{space 3} 2.098502
{txt}{space 17}yr31 {c |}{col 23}{res}{space 2} .2310277{col 35}{space 2} 1.050372{col 46}{space 1}    0.22{col 55}{space 3}0.826{col 63}{space 4}-1.827663{col 76}{space 3} 2.289719
{txt}{space 17}yr32 {c |}{col 23}{res}{space 2}-.6495762{col 35}{space 2} 1.080285{col 46}{space 1}   -0.60{col 55}{space 3}0.548{col 63}{space 4}-2.766896{col 76}{space 3} 1.467744
{txt}{space 17}yr33 {c |}{col 23}{res}{space 2}-.8154533{col 35}{space 2} 1.179371{col 46}{space 1}   -0.69{col 55}{space 3}0.489{col 63}{space 4}-3.126977{col 76}{space 3} 1.496071
{txt}{space 17}yr34 {c |}{col 23}{res}{space 2}-.0894633{col 35}{space 2}  1.18697{col 46}{space 1}   -0.08{col 55}{space 3}0.940{col 63}{space 4}-2.415881{col 76}{space 3} 2.236954
{txt}{space 17}yr35 {c |}{col 23}{res}{space 2} .7038986{col 35}{space 2}  1.16139{col 46}{space 1}    0.61{col 55}{space 3}0.544{col 63}{space 4}-1.572383{col 76}{space 3} 2.980181
{txt}{space 17}yr36 {c |}{col 23}{res}{space 2}-.0787077{col 35}{space 2} 1.064622{col 46}{space 1}   -0.07{col 55}{space 3}0.941{col 63}{space 4}-2.165328{col 76}{space 3} 2.007912
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 2.759118{col 35}{space 2} 1.245389{col 46}{space 1}    2.22{col 55}{space 3}0.027{col 63}{space 4} .3181998{col 76}{space 3} 5.200036
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit security       female0_1##c.v2x_gencs  religious_conflict Muslim_organization foreign_organization /*  f_occupation iraqsyria*/ ///
>                                /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13 yr14*/ yr15 yr16 yr17 /*yr18*/ yr19 yr20 ///
>                                        yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -3061.668}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2554.6601}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2543.4072}  
Iteration 3:{space 3}log pseudolikelihood = {res: -2543.249}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2543.2479}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2543.2479}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,157
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(25)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-2543.2479{txt}{col 49}Pseudo R2{col 67}= {res}    0.1693

{txt}{ralign 87:(Std. Err. adjusted for {res:35} clusters in ccode)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             security{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.female0_1 {c |}{col 23}{res}{space 2}-.7222548{col 35}{space 2}  1.45812{col 46}{space 1}   -0.50{col 55}{space 3}0.620{col 63}{space 4}-3.580117{col 76}{space 3} 2.135607
{txt}{space 12}v2x_gencs {c |}{col 23}{res}{space 2}-3.112782{col 35}{space 2} 1.214647{col 46}{space 1}   -2.56{col 55}{space 3}0.010{col 63}{space 4}-5.493447{col 76}{space 3} -.732117
{txt}{space 21} {c |}
female0_1#c.v2x_gencs {c |}
{space 19}1  {c |}{col 23}{res}{space 2}-.9258938{col 35}{space 2} 2.347723{col 46}{space 1}   -0.39{col 55}{space 3}0.693{col 63}{space 4}-5.527347{col 76}{space 3} 3.675559
{txt}{space 21} {c |}
{space 3}religious_conflict {c |}{col 23}{res}{space 2} .2488549{col 35}{space 2} .2584094{col 46}{space 1}    0.96{col 55}{space 3}0.336{col 63}{space 4}-.2576182{col 76}{space 3}  .755328
{txt}{space 2}Muslim_organization {c |}{col 23}{res}{space 2}-.9677824{col 35}{space 2}  .407094{col 46}{space 1}   -2.38{col 55}{space 3}0.017{col 63}{space 4}-1.765672{col 76}{space 3}-.1698928
{txt}{space 1}foreign_organization {c |}{col 23}{res}{space 2} .3940016{col 35}{space 2}  .307498{col 46}{space 1}    1.28{col 55}{space 3}0.200{col 63}{space 4}-.2086835{col 76}{space 3} .9966867
{txt}{space 18}yr6 {c |}{col 23}{res}{space 2} 3.215236{col 35}{space 2} 1.063149{col 46}{space 1}    3.02{col 55}{space 3}0.002{col 63}{space 4} 1.131503{col 76}{space 3} 5.298969
{txt}{space 18}yr8 {c |}{col 23}{res}{space 2}-.2251372{col 35}{space 2} 1.853194{col 46}{space 1}   -0.12{col 55}{space 3}0.903{col 63}{space 4}-3.857332{col 76}{space 3} 3.407057
{txt}{space 17}yr15 {c |}{col 23}{res}{space 2}-.2277816{col 35}{space 2} 1.114741{col 46}{space 1}   -0.20{col 55}{space 3}0.838{col 63}{space 4}-2.412635{col 76}{space 3} 1.957071
{txt}{space 17}yr16 {c |}{col 23}{res}{space 2}   .00887{col 35}{space 2} 1.219265{col 46}{space 1}    0.01{col 55}{space 3}0.994{col 63}{space 4}-2.380845{col 76}{space 3} 2.398585
{txt}{space 17}yr17 {c |}{col 23}{res}{space 2} 1.412506{col 35}{space 2} 1.176417{col 46}{space 1}    1.20{col 55}{space 3}0.230{col 63}{space 4}-.8932285{col 76}{space 3}  3.71824
{txt}{space 17}yr19 {c |}{col 23}{res}{space 2} 2.233754{col 35}{space 2} 1.519983{col 46}{space 1}    1.47{col 55}{space 3}0.142{col 63}{space 4}-.7453589{col 76}{space 3} 5.212866
{txt}{space 17}yr20 {c |}{col 23}{res}{space 2} .2251071{col 35}{space 2} 1.487629{col 46}{space 1}    0.15{col 55}{space 3}0.880{col 63}{space 4}-2.690593{col 76}{space 3} 3.140807
{txt}{space 17}yr21 {c |}{col 23}{res}{space 2} .2254708{col 35}{space 2} 1.449269{col 46}{space 1}    0.16{col 55}{space 3}0.876{col 63}{space 4}-2.615045{col 76}{space 3} 3.065986
{txt}{space 17}yr22 {c |}{col 23}{res}{space 2}-1.096012{col 35}{space 2}    1.137{col 46}{space 1}   -0.96{col 55}{space 3}0.335{col 63}{space 4}-3.324491{col 76}{space 3} 1.132468
{txt}{space 17}yr23 {c |}{col 23}{res}{space 2}-1.568192{col 35}{space 2} 1.161298{col 46}{space 1}   -1.35{col 55}{space 3}0.177{col 63}{space 4}-3.844295{col 76}{space 3} .7079107
{txt}{space 17}yr24 {c |}{col 23}{res}{space 2}-1.001422{col 35}{space 2} 1.520183{col 46}{space 1}   -0.66{col 55}{space 3}0.510{col 63}{space 4}-3.980926{col 76}{space 3} 1.978082
{txt}{space 17}yr25 {c |}{col 23}{res}{space 2} .7750017{col 35}{space 2} 1.374574{col 46}{space 1}    0.56{col 55}{space 3}0.573{col 63}{space 4}-1.919114{col 76}{space 3} 3.469118
{txt}{space 17}yr26 {c |}{col 23}{res}{space 2} 1.018532{col 35}{space 2} 1.201999{col 46}{space 1}    0.85{col 55}{space 3}0.397{col 63}{space 4}-1.337343{col 76}{space 3} 3.374407
{txt}{space 17}yr27 {c |}{col 23}{res}{space 2} .6606131{col 35}{space 2} 1.122586{col 46}{space 1}    0.59{col 55}{space 3}0.556{col 63}{space 4}-1.539616{col 76}{space 3} 2.860842
{txt}{space 17}yr28 {c |}{col 23}{res}{space 2} .5059346{col 35}{space 2} 1.093778{col 46}{space 1}    0.46{col 55}{space 3}0.644{col 63}{space 4}-1.637831{col 76}{space 3}   2.6497
{txt}{space 17}yr29 {c |}{col 23}{res}{space 2}-.4370523{col 35}{space 2} 1.166715{col 46}{space 1}   -0.37{col 55}{space 3}0.708{col 63}{space 4}-2.723773{col 76}{space 3} 1.849668
{txt}{space 17}yr30 {c |}{col 23}{res}{space 2} .3023636{col 35}{space 2} 1.131933{col 46}{space 1}    0.27{col 55}{space 3}0.789{col 63}{space 4}-1.916184{col 76}{space 3} 2.520911
{txt}{space 17}yr31 {c |}{col 23}{res}{space 2} .4338292{col 35}{space 2} 1.173624{col 46}{space 1}    0.37{col 55}{space 3}0.712{col 63}{space 4}-1.866432{col 76}{space 3}  2.73409
{txt}{space 17}yr32 {c |}{col 23}{res}{space 2}-.4683835{col 35}{space 2} 1.187804{col 46}{space 1}   -0.39{col 55}{space 3}0.693{col 63}{space 4}-2.796436{col 76}{space 3} 1.859669
{txt}{space 17}yr33 {c |}{col 23}{res}{space 2}-.6261189{col 35}{space 2} 1.257461{col 46}{space 1}   -0.50{col 55}{space 3}0.619{col 63}{space 4}-3.090698{col 76}{space 3}  1.83846
{txt}{space 17}yr34 {c |}{col 23}{res}{space 2}  .024952{col 35}{space 2} 1.271921{col 46}{space 1}    0.02{col 55}{space 3}0.984{col 63}{space 4}-2.467967{col 76}{space 3} 2.517871
{txt}{space 17}yr35 {c |}{col 23}{res}{space 2} .8639781{col 35}{space 2} 1.280014{col 46}{space 1}    0.67{col 55}{space 3}0.500{col 63}{space 4}-1.644803{col 76}{space 3} 3.372759
{txt}{space 17}yr36 {c |}{col 23}{res}{space 2} .0323105{col 35}{space 2}  1.13791{col 46}{space 1}    0.03{col 55}{space 3}0.977{col 63}{space 4}-2.197953{col 76}{space 3} 2.262574
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 3.007488{col 35}{space 2} 1.310832{col 46}{space 1}    2.29{col 55}{space 3}0.022{col 63}{space 4} .4383057{col 76}{space 3} 5.576671
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit security       female0_1##c.v2x_gencs  religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria gdppc501 ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13 yr14*/ yr15 yr16 yr17 /*yr18*/ yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -3061.668}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2539.5982}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2525.9937}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2525.8245}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2525.8232}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2525.8232}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,157
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(28)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-2525.8232{txt}{col 49}Pseudo R2{col 67}= {res}    0.1750

{txt}{ralign 87:(Std. Err. adjusted for {res:35} clusters in ccode)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             security{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.female0_1 {c |}{col 23}{res}{space 2}-.3236032{col 35}{space 2}  1.24519{col 46}{space 1}   -0.26{col 55}{space 3}0.795{col 63}{space 4} -2.76413{col 76}{space 3} 2.116924
{txt}{space 12}v2x_gencs {c |}{col 23}{res}{space 2}-2.340875{col 35}{space 2} 1.342809{col 46}{space 1}   -1.74{col 55}{space 3}0.081{col 63}{space 4}-4.972732{col 76}{space 3} .2909813
{txt}{space 21} {c |}
female0_1#c.v2x_gencs {c |}
{space 19}1  {c |}{col 23}{res}{space 2}-1.565983{col 35}{space 2} 2.119465{col 46}{space 1}   -0.74{col 55}{space 3}0.460{col 63}{space 4}-5.720058{col 76}{space 3} 2.588093
{txt}{space 21} {c |}
{space 3}religious_conflict {c |}{col 23}{res}{space 2} .2566169{col 35}{space 2}  .263877{col 46}{space 1}    0.97{col 55}{space 3}0.331{col 63}{space 4}-.2605724{col 76}{space 3} .7738063
{txt}{space 2}Muslim_organization {c |}{col 23}{res}{space 2}-.9046735{col 35}{space 2} .5214192{col 46}{space 1}   -1.74{col 55}{space 3}0.083{col 63}{space 4}-1.926636{col 76}{space 3} .1172893
{txt}{space 1}foreign_organization {c |}{col 23}{res}{space 2} .2175965{col 35}{space 2} .3569701{col 46}{space 1}    0.61{col 55}{space 3}0.542{col 63}{space 4} -.482052{col 76}{space 3}  .917245
{txt}{space 9}f_occupation {c |}{col 23}{res}{space 2} .4954454{col 35}{space 2} .4011741{col 46}{space 1}    1.23{col 55}{space 3}0.217{col 63}{space 4}-.2908414{col 76}{space 3} 1.281732
{txt}{space 12}iraqsyria {c |}{col 23}{res}{space 2} .1792232{col 35}{space 2} .2915535{col 46}{space 1}    0.61{col 55}{space 3}0.539{col 63}{space 4}-.3922112{col 76}{space 3} .7506576
{txt}{space 13}gdppc501 {c |}{col 23}{res}{space 2} .0084624{col 35}{space 2} .0117633{col 46}{space 1}    0.72{col 55}{space 3}0.472{col 63}{space 4}-.0145933{col 76}{space 3} .0315181
{txt}{space 18}yr6 {c |}{col 23}{res}{space 2} 3.574488{col 35}{space 2} 1.200092{col 46}{space 1}    2.98{col 55}{space 3}0.003{col 63}{space 4} 1.222352{col 76}{space 3} 5.926624
{txt}{space 18}yr8 {c |}{col 23}{res}{space 2}-.0253019{col 35}{space 2} 1.908872{col 46}{space 1}   -0.01{col 55}{space 3}0.989{col 63}{space 4}-3.766622{col 76}{space 3} 3.716018
{txt}{space 17}yr15 {c |}{col 23}{res}{space 2}-.3427296{col 35}{space 2}  1.18934{col 46}{space 1}   -0.29{col 55}{space 3}0.773{col 63}{space 4}-2.673793{col 76}{space 3} 1.988334
{txt}{space 17}yr16 {c |}{col 23}{res}{space 2}-.0771497{col 35}{space 2} 1.247501{col 46}{space 1}   -0.06{col 55}{space 3}0.951{col 63}{space 4}-2.522207{col 76}{space 3} 2.367908
{txt}{space 17}yr17 {c |}{col 23}{res}{space 2} 1.368323{col 35}{space 2}  1.23965{col 46}{space 1}    1.10{col 55}{space 3}0.270{col 63}{space 4}-1.061347{col 76}{space 3} 3.797993
{txt}{space 17}yr19 {c |}{col 23}{res}{space 2}  2.25831{col 35}{space 2} 1.545127{col 46}{space 1}    1.46{col 55}{space 3}0.144{col 63}{space 4}-.7700839{col 76}{space 3} 5.286703
{txt}{space 17}yr20 {c |}{col 23}{res}{space 2} .2535764{col 35}{space 2} 1.540876{col 46}{space 1}    0.16{col 55}{space 3}0.869{col 63}{space 4}-2.766484{col 76}{space 3} 3.273637
{txt}{space 17}yr21 {c |}{col 23}{res}{space 2}  .145167{col 35}{space 2} 1.450654{col 46}{space 1}    0.10{col 55}{space 3}0.920{col 63}{space 4}-2.698063{col 76}{space 3} 2.988397
{txt}{space 17}yr22 {c |}{col 23}{res}{space 2}-1.161363{col 35}{space 2} 1.177465{col 46}{space 1}   -0.99{col 55}{space 3}0.324{col 63}{space 4}-3.469152{col 76}{space 3} 1.146425
{txt}{space 17}yr23 {c |}{col 23}{res}{space 2}  -1.6703{col 35}{space 2} 1.247891{col 46}{space 1}   -1.34{col 55}{space 3}0.181{col 63}{space 4}-4.116123{col 76}{space 3} .7755217
{txt}{space 17}yr24 {c |}{col 23}{res}{space 2}-1.111135{col 35}{space 2} 1.590458{col 46}{space 1}   -0.70{col 55}{space 3}0.485{col 63}{space 4}-4.228375{col 76}{space 3} 2.006104
{txt}{space 17}yr25 {c |}{col 23}{res}{space 2} .2889264{col 35}{space 2} 1.619286{col 46}{space 1}    0.18{col 55}{space 3}0.858{col 63}{space 4}-2.884816{col 76}{space 3} 3.462669
{txt}{space 17}yr26 {c |}{col 23}{res}{space 2} .6494896{col 35}{space 2} 1.273621{col 46}{space 1}    0.51{col 55}{space 3}0.610{col 63}{space 4}-1.846762{col 76}{space 3} 3.145741
{txt}{space 17}yr27 {c |}{col 23}{res}{space 2} .3019848{col 35}{space 2} 1.214497{col 46}{space 1}    0.25{col 55}{space 3}0.804{col 63}{space 4}-2.078386{col 76}{space 3} 2.682356
{txt}{space 17}yr28 {c |}{col 23}{res}{space 2}   .22099{col 35}{space 2} 1.203978{col 46}{space 1}    0.18{col 55}{space 3}0.854{col 63}{space 4}-2.138764{col 76}{space 3} 2.580744
{txt}{space 17}yr29 {c |}{col 23}{res}{space 2}-.6955277{col 35}{space 2} 1.333335{col 46}{space 1}   -0.52{col 55}{space 3}0.602{col 63}{space 4}-3.308816{col 76}{space 3}  1.91776
{txt}{space 17}yr30 {c |}{col 23}{res}{space 2} .1145862{col 35}{space 2} 1.278757{col 46}{space 1}    0.09{col 55}{space 3}0.929{col 63}{space 4} -2.39173{col 76}{space 3} 2.620903
{txt}{space 17}yr31 {c |}{col 23}{res}{space 2} .3876611{col 35}{space 2} 1.303171{col 46}{space 1}    0.30{col 55}{space 3}0.766{col 63}{space 4}-2.166508{col 76}{space 3}  2.94183
{txt}{space 17}yr32 {c |}{col 23}{res}{space 2}-.5634081{col 35}{space 2} 1.277074{col 46}{space 1}   -0.44{col 55}{space 3}0.659{col 63}{space 4}-3.066428{col 76}{space 3} 1.939612
{txt}{space 17}yr33 {c |}{col 23}{res}{space 2}-.6670543{col 35}{space 2} 1.397424{col 46}{space 1}   -0.48{col 55}{space 3}0.633{col 63}{space 4}-3.405954{col 76}{space 3} 2.071846
{txt}{space 17}yr34 {c |}{col 23}{res}{space 2}-.0124664{col 35}{space 2} 1.321488{col 46}{space 1}   -0.01{col 55}{space 3}0.992{col 63}{space 4}-2.602534{col 76}{space 3} 2.577602
{txt}{space 17}yr35 {c |}{col 23}{res}{space 2} .9680803{col 35}{space 2} 1.440684{col 46}{space 1}    0.67{col 55}{space 3}0.502{col 63}{space 4}-1.855609{col 76}{space 3} 3.791769
{txt}{space 17}yr36 {c |}{col 23}{res}{space 2} .1663115{col 35}{space 2} 1.216583{col 46}{space 1}    0.14{col 55}{space 3}0.891{col 63}{space 4}-2.218147{col 76}{space 3}  2.55077
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 2.451491{col 35}{space 2} 1.464541{col 46}{space 1}    1.67{col 55}{space 3}0.094{col 63}{space 4}-.4189562{col 76}{space 3} 5.321939
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.                 
.         
. ***** Appendix Figure 2 *****
. 
. label variable v2x_gencs 
{txt}
{com}. label variable v2x_gencs "Gender Equality"
{txt}
{com}. 
. logit security       female0_1##c.v2x_gencs  religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria gdppc501 ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13 yr14*/ yr15 yr16 yr17 /*yr18*/ yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -3061.668}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2539.5982}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2525.9937}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2525.8245}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2525.8232}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2525.8232}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,157
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(28)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-2525.8232{txt}{col 49}Pseudo R2{col 67}= {res}    0.1750

{txt}{ralign 87:(Std. Err. adjusted for {res:35} clusters in ccode)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             security{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.female0_1 {c |}{col 23}{res}{space 2}-.3236032{col 35}{space 2}  1.24519{col 46}{space 1}   -0.26{col 55}{space 3}0.795{col 63}{space 4} -2.76413{col 76}{space 3} 2.116924
{txt}{space 12}v2x_gencs {c |}{col 23}{res}{space 2}-2.340875{col 35}{space 2} 1.342809{col 46}{space 1}   -1.74{col 55}{space 3}0.081{col 63}{space 4}-4.972732{col 76}{space 3} .2909813
{txt}{space 21} {c |}
female0_1#c.v2x_gencs {c |}
{space 19}1  {c |}{col 23}{res}{space 2}-1.565983{col 35}{space 2} 2.119465{col 46}{space 1}   -0.74{col 55}{space 3}0.460{col 63}{space 4}-5.720058{col 76}{space 3} 2.588093
{txt}{space 21} {c |}
{space 3}religious_conflict {c |}{col 23}{res}{space 2} .2566169{col 35}{space 2}  .263877{col 46}{space 1}    0.97{col 55}{space 3}0.331{col 63}{space 4}-.2605724{col 76}{space 3} .7738063
{txt}{space 2}Muslim_organization {c |}{col 23}{res}{space 2}-.9046735{col 35}{space 2} .5214192{col 46}{space 1}   -1.74{col 55}{space 3}0.083{col 63}{space 4}-1.926636{col 76}{space 3} .1172893
{txt}{space 1}foreign_organization {c |}{col 23}{res}{space 2} .2175965{col 35}{space 2} .3569701{col 46}{space 1}    0.61{col 55}{space 3}0.542{col 63}{space 4} -.482052{col 76}{space 3}  .917245
{txt}{space 9}f_occupation {c |}{col 23}{res}{space 2} .4954454{col 35}{space 2} .4011741{col 46}{space 1}    1.23{col 55}{space 3}0.217{col 63}{space 4}-.2908414{col 76}{space 3} 1.281732
{txt}{space 12}iraqsyria {c |}{col 23}{res}{space 2} .1792232{col 35}{space 2} .2915535{col 46}{space 1}    0.61{col 55}{space 3}0.539{col 63}{space 4}-.3922112{col 76}{space 3} .7506576
{txt}{space 13}gdppc501 {c |}{col 23}{res}{space 2} .0084624{col 35}{space 2} .0117633{col 46}{space 1}    0.72{col 55}{space 3}0.472{col 63}{space 4}-.0145933{col 76}{space 3} .0315181
{txt}{space 18}yr6 {c |}{col 23}{res}{space 2} 3.574488{col 35}{space 2} 1.200092{col 46}{space 1}    2.98{col 55}{space 3}0.003{col 63}{space 4} 1.222352{col 76}{space 3} 5.926624
{txt}{space 18}yr8 {c |}{col 23}{res}{space 2}-.0253019{col 35}{space 2} 1.908872{col 46}{space 1}   -0.01{col 55}{space 3}0.989{col 63}{space 4}-3.766622{col 76}{space 3} 3.716018
{txt}{space 17}yr15 {c |}{col 23}{res}{space 2}-.3427296{col 35}{space 2}  1.18934{col 46}{space 1}   -0.29{col 55}{space 3}0.773{col 63}{space 4}-2.673793{col 76}{space 3} 1.988334
{txt}{space 17}yr16 {c |}{col 23}{res}{space 2}-.0771497{col 35}{space 2} 1.247501{col 46}{space 1}   -0.06{col 55}{space 3}0.951{col 63}{space 4}-2.522207{col 76}{space 3} 2.367908
{txt}{space 17}yr17 {c |}{col 23}{res}{space 2} 1.368323{col 35}{space 2}  1.23965{col 46}{space 1}    1.10{col 55}{space 3}0.270{col 63}{space 4}-1.061347{col 76}{space 3} 3.797993
{txt}{space 17}yr19 {c |}{col 23}{res}{space 2}  2.25831{col 35}{space 2} 1.545127{col 46}{space 1}    1.46{col 55}{space 3}0.144{col 63}{space 4}-.7700839{col 76}{space 3} 5.286703
{txt}{space 17}yr20 {c |}{col 23}{res}{space 2} .2535764{col 35}{space 2} 1.540876{col 46}{space 1}    0.16{col 55}{space 3}0.869{col 63}{space 4}-2.766484{col 76}{space 3} 3.273637
{txt}{space 17}yr21 {c |}{col 23}{res}{space 2}  .145167{col 35}{space 2} 1.450654{col 46}{space 1}    0.10{col 55}{space 3}0.920{col 63}{space 4}-2.698063{col 76}{space 3} 2.988397
{txt}{space 17}yr22 {c |}{col 23}{res}{space 2}-1.161363{col 35}{space 2} 1.177465{col 46}{space 1}   -0.99{col 55}{space 3}0.324{col 63}{space 4}-3.469152{col 76}{space 3} 1.146425
{txt}{space 17}yr23 {c |}{col 23}{res}{space 2}  -1.6703{col 35}{space 2} 1.247891{col 46}{space 1}   -1.34{col 55}{space 3}0.181{col 63}{space 4}-4.116123{col 76}{space 3} .7755217
{txt}{space 17}yr24 {c |}{col 23}{res}{space 2}-1.111135{col 35}{space 2} 1.590458{col 46}{space 1}   -0.70{col 55}{space 3}0.485{col 63}{space 4}-4.228375{col 76}{space 3} 2.006104
{txt}{space 17}yr25 {c |}{col 23}{res}{space 2} .2889264{col 35}{space 2} 1.619286{col 46}{space 1}    0.18{col 55}{space 3}0.858{col 63}{space 4}-2.884816{col 76}{space 3} 3.462669
{txt}{space 17}yr26 {c |}{col 23}{res}{space 2} .6494896{col 35}{space 2} 1.273621{col 46}{space 1}    0.51{col 55}{space 3}0.610{col 63}{space 4}-1.846762{col 76}{space 3} 3.145741
{txt}{space 17}yr27 {c |}{col 23}{res}{space 2} .3019848{col 35}{space 2} 1.214497{col 46}{space 1}    0.25{col 55}{space 3}0.804{col 63}{space 4}-2.078386{col 76}{space 3} 2.682356
{txt}{space 17}yr28 {c |}{col 23}{res}{space 2}   .22099{col 35}{space 2} 1.203978{col 46}{space 1}    0.18{col 55}{space 3}0.854{col 63}{space 4}-2.138764{col 76}{space 3} 2.580744
{txt}{space 17}yr29 {c |}{col 23}{res}{space 2}-.6955277{col 35}{space 2} 1.333335{col 46}{space 1}   -0.52{col 55}{space 3}0.602{col 63}{space 4}-3.308816{col 76}{space 3}  1.91776
{txt}{space 17}yr30 {c |}{col 23}{res}{space 2} .1145862{col 35}{space 2} 1.278757{col 46}{space 1}    0.09{col 55}{space 3}0.929{col 63}{space 4} -2.39173{col 76}{space 3} 2.620903
{txt}{space 17}yr31 {c |}{col 23}{res}{space 2} .3876611{col 35}{space 2} 1.303171{col 46}{space 1}    0.30{col 55}{space 3}0.766{col 63}{space 4}-2.166508{col 76}{space 3}  2.94183
{txt}{space 17}yr32 {c |}{col 23}{res}{space 2}-.5634081{col 35}{space 2} 1.277074{col 46}{space 1}   -0.44{col 55}{space 3}0.659{col 63}{space 4}-3.066428{col 76}{space 3} 1.939612
{txt}{space 17}yr33 {c |}{col 23}{res}{space 2}-.6670543{col 35}{space 2} 1.397424{col 46}{space 1}   -0.48{col 55}{space 3}0.633{col 63}{space 4}-3.405954{col 76}{space 3} 2.071846
{txt}{space 17}yr34 {c |}{col 23}{res}{space 2}-.0124664{col 35}{space 2} 1.321488{col 46}{space 1}   -0.01{col 55}{space 3}0.992{col 63}{space 4}-2.602534{col 76}{space 3} 2.577602
{txt}{space 17}yr35 {c |}{col 23}{res}{space 2} .9680803{col 35}{space 2} 1.440684{col 46}{space 1}    0.67{col 55}{space 3}0.502{col 63}{space 4}-1.855609{col 76}{space 3} 3.791769
{txt}{space 17}yr36 {c |}{col 23}{res}{space 2} .1663115{col 35}{space 2} 1.216583{col 46}{space 1}    0.14{col 55}{space 3}0.891{col 63}{space 4}-2.218147{col 76}{space 3}  2.55077
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 2.451491{col 35}{space 2} 1.464541{col 46}{space 1}    1.67{col 55}{space 3}0.094{col 63}{space 4}-.4189562{col 76}{space 3} 5.321939
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod4
{txt}
{com}. margins,  dydx(female0_1) at((asobserved)  v2x_gencs  =(.206 (.01) .937))  level(95) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     5,157
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(security), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.female0_1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.206}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.216}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.226}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.236}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.246}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.256}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.266}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.276}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.286}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.296}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.306}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.316}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.326}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.336}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.346}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.356}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.366}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.376}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.386}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.396}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.406}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.416}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.426}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.436}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.446}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.456}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.466}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.476}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.486}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.496}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.506}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.516}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.526}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.536}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.546}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.556}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.566}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.576}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.586}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.596}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.606}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.616}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.626}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.636}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.646}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.656}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.666}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.676}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.686}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.696}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.706}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.716}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.726}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.736}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.746}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.756}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.766}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.776}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.786}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:v2x_gencs}{space 7}{txt:=} {space 7}.796}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.female0_1  {txt}{c |}
{space 9}_at {c |}
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{txt}{space 9}69  {c |}{col 14}{res}{space 2} -.347227{col 26}{space 2} .1292253{col 37}{space 1}   -2.69{col 46}{space 3}0.007{col 54}{space 4}-.6005039{col 67}{space 3}  -.09395
{txt}{space 9}70  {c |}{col 14}{res}{space 2}-.3483678{col 26}{space 2} .1311004{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4}-.6053198{col 67}{space 3}-.0914157
{txt}{space 9}71  {c |}{col 14}{res}{space 2}-.3493806{col 26}{space 2} .1329402{col 37}{space 1}   -2.63{col 46}{space 3}0.009{col 54}{space 4}-.6099385{col 67}{space 3}-.0888226
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{txt}{space 9}73  {c |}{col 14}{res}{space 2}-.3510237{col 26}{space 2} .1365221{col 37}{space 1}   -2.57{col 46}{space 3}0.010{col 54}{space 4}-.6186021{col 67}{space 3}-.0834454
{txt}{space 9}74  {c |}{col 14}{res}{space 2}-.3516552{col 26}{space 2} .1382689{col 37}{space 1}   -2.54{col 46}{space 3}0.011{col 54}{space 4}-.6226573{col 67}{space 3}-.0806531
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot,  ytitle(Predicted Probability of attacking Security Targets) 

{text}{p 2 6 2}Variables that uniquely identify margins: v2x_gencs{p_end}
{res}{txt}
{com}. estimates clear
{txt}
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{txt}end of do-file

{com}. exit, clear
